{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "N58_HAIBIeX6"
   },
   "source": [
    "<a href=\"https://colab.research.google.com/github/jeffheaton/t81_558_deep_learning/blob/master/t81_558_class_12_01_ai_gym.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "dnID4yguIeX7"
   },
   "source": [
    "# T81-558: Applications of Deep Neural Networks\n",
    "**Module 12: Reinforcement Learning**\n",
    "* Instructor: [Jeff Heaton](https://sites.wustl.edu/jeffheaton/), McKelvey School of Engineering, [Washington University in St. Louis](https://engineering.wustl.edu/Programs/Pages/default.aspx)\n",
    "* For more information visit the [class website](https://sites.wustl.edu/jeffheaton/t81-558/)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "w7l5rd2MIeX8"
   },
   "source": [
    "# Module 12 Video Material\n",
    "\n",
    "* **Part 12.1: Introduction to the OpenAI Gym** [[Video]](https://www.youtube.com/watch?v=_KbUxgyisjM&list=PLjy4p-07OYzulelvJ5KVaT2pDlxivl_BN) [[Notebook]](https://github.com/jeffheaton/t81_558_deep_learning/blob/master/t81_558_class_12_01_ai_gym.ipynb)\n",
    "* Part 12.2: Introduction to Q-Learning [[Video]](https://www.youtube.com/watch?v=A3sYFcJY3lA&list=PLjy4p-07OYzulelvJ5KVaT2pDlxivl_BN) [[Notebook]](https://github.com/jeffheaton/t81_558_deep_learning/blob/master/t81_558_class_12_02_qlearningreinforcement.ipynb)\n",
    "* Part 12.3: Keras Q-Learning in the OpenAI Gym [[Video]](https://www.youtube.com/watch?v=qy1SJmsRhvM&list=PLjy4p-07OYzulelvJ5KVaT2pDlxivl_BN) [[Notebook]](https://github.com/jeffheaton/t81_558_deep_learning/blob/master/t81_558_class_12_03_keras_reinforce.ipynb)\n",
    "* Part 12.4: Atari Games with Keras Neural Networks [[Video]](https://www.youtube.com/watch?v=co0SwPWoZh0&list=PLjy4p-07OYzulelvJ5KVaT2pDlxivl_BN) [[Notebook]](https://github.com/jeffheaton/t81_558_deep_learning/blob/master/t81_558_class_12_04_atari.ipynb)\n",
    "* Part 12.5: Application of Reinforcement Learning [[Video]](https://www.youtube.com/watch?v=1jQPP3RfwMI&list=PLjy4p-07OYzulelvJ5KVaT2pDlxivl_BN) [[Notebook]](https://github.com/jeffheaton/t81_558_deep_learning/blob/master/t81_558_class_12_05_apply_rl.ipynb)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "UImTzmGTIeX9"
   },
   "source": [
    "# Part 12.1: Introduction to the OpenAI Gym\n",
    "\n",
    "[OpenAI Gym](https://gym.openai.com/) aims to provide an easy-to-setup general-intelligence benchmark with various environments. The goal is to standardize how environments are defined in AI research publications to make published research more easily reproducible. The project claims to provide the user with a simple interface. As of June 2017, developers can only use Gym with Python. \n",
    "\n",
    "OpenAI gym is pip-installed onto your local machine. There are a few significant limitations to be aware of:\n",
    "\n",
    "* OpenAI Gym Atari only **directly** supports Linux and Macintosh\n",
    "* OpenAI Gym Atari can be used with Windows; however, it requires a particular [installation procedure](https://towardsdatascience.com/how-to-install-openai-gym-in-a-windows-environment-338969e24d30)\n",
    "* OpenAI Gym can not directly render animated games in Google CoLab.\n",
    "\n",
    "Because OpenAI Gym requires a graphics display, an embedded video is the only way to display Gym in Google CoLab. The presentation of OpenAI Gym game animations in Google CoLab is discussed later in this module.\n",
    "\n",
    "## OpenAI Gym Leaderboard\n",
    "\n",
    "The OpenAI Gym does have a leaderboard, similar to Kaggle; however, the OpenAI Gym's leaderboard is much more informal compared to Kaggle. The user's local machine performs all scoring. As a result, the OpenAI gym's leaderboard is strictly an \"honor system.\"  The leaderboard is maintained in the following GitHub repository:\n",
    "\n",
    "* [OpenAI Gym Leaderboard](https://github.com/openai/gym/wiki/Leaderboard)\n",
    "\n",
    "You must provide a write-up with sufficient instructions to reproduce your result if you submit a score. A video of your results is suggested but not required.\n",
    "\n",
    "## Looking at Gym Environments\n",
    "\n",
    "The centerpiece of Gym is the environment, which defines the \"game\" in which your reinforcement algorithm will compete. An environment does not need to be a game; however, it describes the following game-like features:\n",
    "* **action space**: What actions can we take on the environment at each step/episode to alter the environment.\n",
    "* **observation space**: What is the current state of the portion of the environment that we can observe. Usually, we can see the entire environment.\n",
    "\n",
    "Before we begin to look at Gym, it is essential to understand some of the terminology used by this library.\n",
    "\n",
    "* **Agent** - The machine learning program or model that controls the actions.\n",
    "Step - One round of issuing actions that affect the observation space.\n",
    "* **Episode** - A collection of steps that terminates when the agent fails to meet the environment's objective or the episode reaches the maximum number of allowed steps.\n",
    "* **Render** - Gym can render one frame for display after each episode.\n",
    "* **Reward** - A positive reinforcement that can occur at the end of each episode, after the agent acts.\n",
    "* **Non-deterministic** - For some environments, randomness is a factor in deciding what effects actions have on reward and changes to the observation space.\n",
    "\n",
    "It is important to note that many gym environments specify that they are not non-deterministic even though they use random numbers to process actions. Based on the gym GitHub issue tracker, a non-deterministic property means a deterministic environment behaves randomly. Even when you give the environment a consistent seed value, this behavior is confirmed. The program can use the seed method of an environment to seed the random number generator for the environment.\n",
    "\n",
    "The Gym library allows us to query some of these attributes from environments. I created the following function to query gym environments.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "id": "cciTuR2MIeX-"
   },
   "outputs": [],
   "source": [
    "import gym\n",
    "\n",
    "\n",
    "def query_environment(name):\n",
    "    env = gym.make(name)\n",
    "    spec = gym.spec(name)\n",
    "    print(f\"Action Space: {env.action_space}\")\n",
    "    print(f\"Observation Space: {env.observation_space}\")\n",
    "    print(f\"Max Episode Steps: {spec.max_episode_steps}\")\n",
    "    print(f\"Nondeterministic: {spec.nondeterministic}\")\n",
    "    print(f\"Reward Range: {env.reward_range}\")\n",
    "    print(f\"Reward Threshold: {spec.reward_threshold}\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "kRXfAdwFDwUm"
   },
   "source": [
    "We will look at the **MountainCar-v0** environment, which challenges an underpowered car to escape the valley between two mountains.  The following code describes the Mountian Car environment."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "XYwy9cjlJjEH",
    "outputId": "2817fb30-df8d-4da5-d434-cef92e501238"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Action Space: Discrete(3)\n",
      "Observation Space: Box(-1.2000000476837158, 0.6000000238418579, (2,), float32)\n",
      "Max Episode Steps: 200\n",
      "Nondeterministic: False\n",
      "Reward Range: (-inf, inf)\n",
      "Reward Threshold: -110.0\n"
     ]
    }
   ],
   "source": [
    "query_environment(\"MountainCar-v0\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "1TsQiaGJE3UA"
   },
   "source": [
    "This environment allows three distinct actions: accelerate forward, decelerate, or backward. The observation space contains two continuous (floating point) values, as evident by the box object. The observation space is simply the position and velocity of the car. The car has 200 steps to escape for each episode. You would have to look at the code, but the mountain car receives no incremental reward. The only reward for the vehicle occurs when it escapes the valley.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "RF4n5cYEMyru",
    "outputId": "816ecca3-8242-4023-9014-8b9e3968806c"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Action Space: Discrete(2)\n",
      "Observation Space: Box(-3.4028234663852886e+38, 3.4028234663852886e+38, (4,), float32)\n",
      "Max Episode Steps: 500\n",
      "Nondeterministic: False\n",
      "Reward Range: (-inf, inf)\n",
      "Reward Threshold: 475.0\n"
     ]
    }
   ],
   "source": [
    "query_environment(\"CartPole-v1\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "QwvVKrNebUHJ"
   },
   "source": [
    "The **CartPole-v1** environment challenges the agent to balance a pole while the agent. The environment has an observation space of 4 continuous numbers:\n",
    "\n",
    "* Cart Position\n",
    "* Cart Velocity\n",
    "* Pole Angle\n",
    "* Pole Velocity At Tip\n",
    "\n",
    "To achieve this goal, the agent can take the following actions:\n",
    "\n",
    "* Push cart to the left\n",
    "* Push cart to the right\n",
    "\n",
    "There is also a continuous variant of the mountain car. This version does not simply have the motor on or off. The action space is a single floating-point number for the continuous cart that specifies how much forward or backward force the cart currently utilizes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "UAlaMcJmNSY0",
    "outputId": "98b06b00-b9a8-4ad7-8b3e-d0695f1ca230"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Action Space: Box(-1.0, 1.0, (1,), float32)\n",
      "Observation Space: Box(-1.2000000476837158, 0.6000000238418579, (2,), float32)\n",
      "Max Episode Steps: 999\n",
      "Nondeterministic: False\n",
      "Reward Range: (-inf, inf)\n",
      "Reward Threshold: 90.0\n"
     ]
    }
   ],
   "source": [
    "query_environment(\"MountainCarContinuous-v0\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "JBrlG1t6ceIa"
   },
   "source": [
    "Note: If you see a warning above, you can safely ignore it; it is a relatively minor bug in OpenAI Gym.\n",
    "\n",
    "Atari games, like breakout, can use an observation space that is either equal to the size of the Atari screen (210x160) or even use the RAM of the Atari (128 bytes) to determine the state of the game.  Yes, that's bytes, not kilobytes!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "G6uBDj0Zyw88",
    "outputId": "48a4cd57-ff07-48c8-eac9-e21616c6cd4a"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--2022-04-02 16:20:06--  http://www.atarimania.com/roms/Roms.rar\n",
      "Resolving www.atarimania.com (www.atarimania.com)... 195.154.81.199\n",
      "Connecting to www.atarimania.com (www.atarimania.com)|195.154.81.199|:80... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 19583716 (19M) [application/x-rar-compressed]\n",
      "Saving to: ‘Roms.rar’\n",
      "\n",
      "Roms.rar            100%[===================>]  18.68M   474KB/s    in 42s     \n",
      "\n",
      "2022-04-02 16:20:49 (456 KB/s) - ‘Roms.rar’ saved [19583716/19583716]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# HIDE OUTPUT\n",
    "!wget http://www.atarimania.com/roms/Roms.rar \n",
    "!unrar x -o+ /content/Roms.rar >/dev/nul\n",
    "!python -m atari_py.import_roms /content/ROMS >/dev/nul"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "ndTb-9pgJizW",
    "outputId": "7e5bba7e-9f72-4b7c-8a28-7f0d5ac5b461"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Action Space: Discrete(4)\n",
      "Observation Space: Box(0, 255, (210, 160, 3), uint8)\n",
      "Max Episode Steps: 10000\n",
      "Nondeterministic: False\n",
      "Reward Range: (-inf, inf)\n",
      "Reward Threshold: None\n"
     ]
    }
   ],
   "source": [
    "query_environment(\"Breakout-v0\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "Ni1rxzmLKAdH",
    "outputId": "f9b1f392-9f70-40f4-f259-e7822fc60e4a"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Action Space: Discrete(4)\n",
      "Observation Space: Box(0, 255, (128,), uint8)\n",
      "Max Episode Steps: 10000\n",
      "Nondeterministic: False\n",
      "Reward Range: (-inf, inf)\n",
      "Reward Threshold: None\n"
     ]
    }
   ],
   "source": [
    "query_environment(\"Breakout-ram-v0\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "3E253PBGPRuw"
   },
   "source": [
    "## Render OpenAI Gym Environments from CoLab\n",
    "\n",
    "It is possible to visualize the game your agent is playing, even on CoLab. This section provides information on generating a video in CoLab that shows you an episode of the game your agent is playing. I based this video process on suggestions found [here](https://colab.research.google.com/drive/1flu31ulJlgiRL1dnN2ir8wGh9p7Zij2t).\n",
    "\n",
    "Begin by installing **pyvirtualdisplay** and **python-opengl**."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "id": "uF92FCzZMWPn"
   },
   "outputs": [],
   "source": [
    "# HIDE OUTPUT\n",
    "!pip install gym pyvirtualdisplay > /dev/null 2>&1\n",
    "!apt-get install -y xvfb python-opengl ffmpeg > /dev/null 2>&1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "hS7L8kFMLkjN"
   },
   "source": [
    "Next, we install the needed requirements to display an Atari game."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 357
    },
    "id": "78BfQoQKOq7z",
    "outputId": "bca85687-5c7d-4c81-fc08-7ab5116e2562"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: setuptools in /usr/local/lib/python3.7/dist-packages (57.4.0)\n",
      "Collecting setuptools\n",
      "  Downloading setuptools-61.3.1-py3-none-any.whl (1.1 MB)\n",
      "\u001b[K     |████████████████████████████████| 1.1 MB 7.8 MB/s \n",
      "\u001b[?25hInstalling collected packages: setuptools\n",
      "  Attempting uninstall: setuptools\n",
      "    Found existing installation: setuptools 57.4.0\n",
      "    Uninstalling setuptools-57.4.0:\n",
      "      Successfully uninstalled setuptools-57.4.0\n",
      "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
      "tensorflow 2.8.0 requires tf-estimator-nightly==2.8.0.dev2021122109, which is not installed.\n",
      "datascience 0.10.6 requires folium==0.2.1, but you have folium 0.8.3 which is incompatible.\u001b[0m\n",
      "Successfully installed setuptools-61.3.1\n"
     ]
    },
    {
     "data": {
      "application/vnd.colab-display-data+json": {
       "pip_warning": {
        "packages": [
         "pkg_resources"
        ]
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# HIDE OUTPUT\n",
    "!apt-get update > /dev/null 2>&1\n",
    "!apt-get install cmake > /dev/null 2>&1\n",
    "!pip install --upgrade setuptools 2>&1\n",
    "!pip install ez_setup > /dev/null 2>&1\n",
    "!pip install gym[atari] > /dev/null 2>&1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "NjTHm2SpLz10"
   },
   "source": [
    "Next, we define the functions used to show the video by adding it to the CoLab notebook."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "id": "T9RpF49oOsZj"
   },
   "outputs": [],
   "source": [
    "import gym\n",
    "from gym.wrappers import Monitor\n",
    "import glob\n",
    "import io\n",
    "import base64\n",
    "from IPython.display import HTML\n",
    "from pyvirtualdisplay import Display\n",
    "from IPython import display as ipythondisplay\n",
    "\n",
    "display = Display(visible=0, size=(1400, 900))\n",
    "display.start()\n",
    "\n",
    "\"\"\"\n",
    "Utility functions to enable video recording of gym environment \n",
    "and displaying it.\n",
    "To enable video, just do \"env = wrap_env(env)\"\"\n",
    "\"\"\"\n",
    "\n",
    "\n",
    "def show_video():\n",
    "    mp4list = glob.glob('video/*.mp4')\n",
    "    if len(mp4list) > 0:\n",
    "        mp4 = mp4list[0]\n",
    "        video = io.open(mp4, 'r+b').read()\n",
    "        encoded = base64.b64encode(video)\n",
    "        ipythondisplay.display(HTML(data='''<video alt=\"test\" autoplay \n",
    "                loop controls style=\"height: 400px;\">\n",
    "                <source src=\"data:video/mp4;base64,{0}\" type=\"video/mp4\" />\n",
    "             </video>'''.format(encoded.decode('ascii'))))\n",
    "    else:\n",
    "        print(\"Could not find video\")\n",
    "\n",
    "\n",
    "def wrap_env(env):\n",
    "    env = Monitor(env, './video', force=True)\n",
    "    return env\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "K6NATj-kNADT"
   },
   "source": [
    "Now we are ready to play the game.  We use a simple random agent."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 421
    },
    "id": "XDKGJ9A3O8fT",
    "outputId": "18a91a3c-ba42-4f95-df90-b9e2a905befd"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<video alt=\"test\" autoplay \n",
       "                loop controls style=\"height: 400px;\">\n",
       "                <source 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type=\"video/mp4\" />\n",
       "             </video>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# HIDE OUTPUT\n",
    "#env = wrap_env(gym.make(\"MountainCar-v0\"))\n",
    "env = wrap_env(gym.make(\"Atlantis-v0\"))\n",
    "\n",
    "observation = env.reset()\n",
    "\n",
    "while True:\n",
    "\n",
    "    env.render()\n",
    "\n",
    "    # your agent goes here\n",
    "    action = env.action_space.sample()\n",
    "\n",
    "    observation, reward, done, info = env.step(action)\n",
    "\n",
    "    if done:\n",
    "        break\n",
    "\n",
    "env.close()\n",
    "show_video()\n"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "colab": {
   "collapsed_sections": [],
   "name": "t81_558_class_12_01_ai_gym.ipynb",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3.9 (tensorflow)",
   "language": "python",
   "name": "tensorflow"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
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